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Flow Cytometric DNA Ploidy Analysis in Haemato-Lymphoid Neoplasms: An Analysis of 132 Cases

Background: FxCycle(TM) Violet (FCV) based flow cytometric (FCM) DNA ploidy analysis is a rapid and simple tool that can substantiate in characterizing the biological behaviour across the spectrum of haematological malignancies and correlates with cytogenetic studies. Materials and Methods: In this...

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Autores principales: Gupta, Nishit, Mittal, Aditi, Dadu, Tina, Choudhary, Dharma, Handoo, Anil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences, Hematology-Oncology and Stem Cell Transplantation Research Center 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339125/
https://www.ncbi.nlm.nih.gov/pubmed/35975117
http://dx.doi.org/10.18502/ijhoscr.v16i1.8440
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author Gupta, Nishit
Mittal, Aditi
Dadu, Tina
Choudhary, Dharma
Handoo, Anil
author_facet Gupta, Nishit
Mittal, Aditi
Dadu, Tina
Choudhary, Dharma
Handoo, Anil
author_sort Gupta, Nishit
collection PubMed
description Background: FxCycle(TM) Violet (FCV) based flow cytometric (FCM) DNA ploidy analysis is a rapid and simple tool that can substantiate in characterizing the biological behaviour across the spectrum of haematological malignancies and correlates with cytogenetic studies. Materials and Methods: In this prospective study, we performed simultaneous immunophenotyping with FCV based on ploidy analysis in n=132 consecutive new samples, comprising n=110 samples of haemato-lymphoid neoplasms, including acute leukemias (n=67, 60.9%), CML with myeloid blast crisis (n=1, 0.9%), MDS with excess blasts (n=2, 1.8%), mature B cell/ T cell neoplasms (n=37, 33.7%), multiple myeloma (n=3, 2.7%) along with n=22 normal samples. The FCM DNA data was compared with corresponding conventional karyotyping results, wherever available. Results: In FCM ploidy analysis (n=110), the overall DNA index (DI) ranged from 0.81 to 2.17 and S-Phase fraction (SPF) from 0.1-31.6%. Diploidy was seen in n = 90 (81.8%), low-hyperdiploidy in n = 10 (9.1%), high-hyperdiploidy in n = 7 (6.4%) with one case each (0.9% each) having near-tetraploidy, high-hypodiploidy and low-hypodiploidy. The DI of all viable cell populations in normal samples ranged from 0.96-1.05. Conventional karyotyping was performed in n=76/110 cases (70%) with n= 11/76 (15%) culture failures. The modal chromosome number ranged from 45 to 63. A concordance of 95.4% (n=62/65) was noted with corresponding FCM DI. Conclusion: FCV-based ploidy is a sensitive technique that provides complementary information and ascertains a strong correlation with conventional cytogenetics across all haemato-lymphoid neoplasms. It can detect aneuploidy in all B-ALL and myeloma cases, even in hemodiluted samples with cytogenetic culture failure; supplement the diagnoses of erythroleukemia, and provide a useful screen for a higher grade lymph node disease in lymphoma cases with SPF > 3%.
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spelling pubmed-93391252022-08-15 Flow Cytometric DNA Ploidy Analysis in Haemato-Lymphoid Neoplasms: An Analysis of 132 Cases Gupta, Nishit Mittal, Aditi Dadu, Tina Choudhary, Dharma Handoo, Anil Int J Hematol Oncol Stem Cell Res Original Article Background: FxCycle(TM) Violet (FCV) based flow cytometric (FCM) DNA ploidy analysis is a rapid and simple tool that can substantiate in characterizing the biological behaviour across the spectrum of haematological malignancies and correlates with cytogenetic studies. Materials and Methods: In this prospective study, we performed simultaneous immunophenotyping with FCV based on ploidy analysis in n=132 consecutive new samples, comprising n=110 samples of haemato-lymphoid neoplasms, including acute leukemias (n=67, 60.9%), CML with myeloid blast crisis (n=1, 0.9%), MDS with excess blasts (n=2, 1.8%), mature B cell/ T cell neoplasms (n=37, 33.7%), multiple myeloma (n=3, 2.7%) along with n=22 normal samples. The FCM DNA data was compared with corresponding conventional karyotyping results, wherever available. Results: In FCM ploidy analysis (n=110), the overall DNA index (DI) ranged from 0.81 to 2.17 and S-Phase fraction (SPF) from 0.1-31.6%. Diploidy was seen in n = 90 (81.8%), low-hyperdiploidy in n = 10 (9.1%), high-hyperdiploidy in n = 7 (6.4%) with one case each (0.9% each) having near-tetraploidy, high-hypodiploidy and low-hypodiploidy. The DI of all viable cell populations in normal samples ranged from 0.96-1.05. Conventional karyotyping was performed in n=76/110 cases (70%) with n= 11/76 (15%) culture failures. The modal chromosome number ranged from 45 to 63. A concordance of 95.4% (n=62/65) was noted with corresponding FCM DI. Conclusion: FCV-based ploidy is a sensitive technique that provides complementary information and ascertains a strong correlation with conventional cytogenetics across all haemato-lymphoid neoplasms. It can detect aneuploidy in all B-ALL and myeloma cases, even in hemodiluted samples with cytogenetic culture failure; supplement the diagnoses of erythroleukemia, and provide a useful screen for a higher grade lymph node disease in lymphoma cases with SPF > 3%. Tehran University of Medical Sciences, Hematology-Oncology and Stem Cell Transplantation Research Center 2022-01-01 /pmc/articles/PMC9339125/ /pubmed/35975117 http://dx.doi.org/10.18502/ijhoscr.v16i1.8440 Text en Copyright © 2022 Tehran University of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.
spellingShingle Original Article
Gupta, Nishit
Mittal, Aditi
Dadu, Tina
Choudhary, Dharma
Handoo, Anil
Flow Cytometric DNA Ploidy Analysis in Haemato-Lymphoid Neoplasms: An Analysis of 132 Cases
title Flow Cytometric DNA Ploidy Analysis in Haemato-Lymphoid Neoplasms: An Analysis of 132 Cases
title_full Flow Cytometric DNA Ploidy Analysis in Haemato-Lymphoid Neoplasms: An Analysis of 132 Cases
title_fullStr Flow Cytometric DNA Ploidy Analysis in Haemato-Lymphoid Neoplasms: An Analysis of 132 Cases
title_full_unstemmed Flow Cytometric DNA Ploidy Analysis in Haemato-Lymphoid Neoplasms: An Analysis of 132 Cases
title_short Flow Cytometric DNA Ploidy Analysis in Haemato-Lymphoid Neoplasms: An Analysis of 132 Cases
title_sort flow cytometric dna ploidy analysis in haemato-lymphoid neoplasms: an analysis of 132 cases
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339125/
https://www.ncbi.nlm.nih.gov/pubmed/35975117
http://dx.doi.org/10.18502/ijhoscr.v16i1.8440
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